@article{schintler_big_2014,
	title = {Big {Data} for {Policy} {Analysis}: {The} {Good}, {The} {Bad}, and {The} {Ugly}},
	volume = {31},
	copyright = {© 2014 by The Policy Studies Organization},
	issn = {1541-1338},
	shorttitle = {Big {Data} for {Policy} {Analysis}},
	url = {http://onlinelibrary.wiley.com/doi/10.1111/ropr.12079/abstract},
	doi = {10.1111/ropr.12079},
	abstract = {Big data holds tremendous potential for public policy analysis. At the same time, its use prompts a number of issues related to statistical bias, privacy, equity, and governance, among others. Accordingly, there is a need to formulate, evaluate, and implement policies that not only mitigate the risks, but also maximize the benefits of using big data for policy analysis. This poses a number of challenges, which are highlighted in this essay.},
	language = {en},
	number = {4},
	urldate = {2014-07-17},
	journal = {Review of Policy Research},
	author = {Schintler, Laurie A. and Kulkarni, Rajendra},
	month = jul,
	year = {2014},
	keywords = {big data, Policy analysis, Policy Assessment, privacy, Public participation, Public policy, statistics},
	pages = {343--348},
	file = {Schintler_et_al-2014-Review_of_Policy_Research.pdf:files/56409/Schintler_et_al-2014-Review_of_Policy_Research.pdf:application/pdf;Snapshot:files/49464/abstract.html:text/html}
}

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